Ying-Guo et al., 1998 - Google Patents
A simple fuzzy adaptive control method and application in HVACYing-Guo et al., 1998
- Document ID
- 7057890498549583838
- Author
- Ying-Guo P
- Hua-Guang Z
- Bien Z
- Publication year
- Publication venue
- 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No. 98CH36228)
External Links
Snippet
A simple and practical fuzzy sliding mode adaptive control is presented in this paper and applied to HVAC (heating, ventilating and air-condition). The effects of parameters variance of the air-conditioner are considered, and performance to uncertainty is assessed. The …
- 230000003044 adaptive 0 title abstract description 11
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety systems or apparatus
- F24F11/0009—Electrical control or safety systems or apparatus
- F24F11/001—Control systems or circuits characterised by their inputs, e.g. using sensors
- F24F2011/0041—Pressure
- F24F2011/0042—Air pressure
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety systems or apparatus
- F24F11/02—Arrangements or mounting of control or safety devices
- F24F11/04—Arrangements or mounting of control or safety devices solely for controlling the rate of air-flow
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
- G05B13/024—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system in which a parameter or coefficient is automatically adjusted to optimise the performance
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
- G05D23/19—Control of temperature characterised by the use of electric means
- G05D23/27—Control of temperature characterised by the use of electric means with sensing element responsive to radiation
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIR CURRENTS FOR SCREENING
- F24F3/00—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems
- F24F3/12—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling
- F24F3/14—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling by humidification; by dehumidification
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ambroziak et al. | The PID controller optimisation module using Fuzzy Self-Tuning PSO for Air Handling Unit in continuous operation | |
| Su et al. | Adaptive fuzzy control of a class of MIMO nonlinear system with actuator saturation for greenhouse climate control problem | |
| Kasahara et al. | Design and tuning of robust PID controller for HVAC systems | |
| US5573181A (en) | Global control of HVAC distribution system | |
| US12276432B2 (en) | System for minimizing indoor infection risk and maximizing energy savings | |
| Ying-Guo et al. | A simple fuzzy adaptive control method and application in HVAC | |
| Setayesh et al. | A comparison between the minimum-order & full-order observers in robust control of the air handling units in the presence of uncertainty | |
| Rodríguez et al. | Feedforward controllers for greenhouse climate control based on physical models | |
| Ling et al. | Expert control of air-conditioning plant | |
| Aborisade et al. | Poultry house temperature control using Fuzzy-PID controller | |
| Mei et al. | Energy-efficient optimal guaranteed cost intermittent-switch control of a direct expansion air conditioning system | |
| Lymperopoulos et al. | Distributed adaptive control of air handling units for interconnected building zones | |
| Zaheer-Uddin | Optimal, sub-optimal and adaptive control methods for the design of temperature controllers for intelligent buildings | |
| CN115935604B (en) | Energy-saving control method and terminal for HVAC system of converter station | |
| Ramírez-Arias et al. | Improving efficiency of greenhouse heating systems using model predictive control | |
| Egilegor et al. | A fuzzy control adapted by a neural network to maintain a dwelling within thermal comfort | |
| Lea et al. | An HVAC fuzzy logic zone control system and performance results | |
| Zhuang et al. | Cascade control for supply air temperature in a variable air volume system | |
| Wang et al. | Application of an intelligent PID control in heating ventilating and air-conditioning system | |
| CN103955249B (en) | Facility agriculture environment control system control method based on solar radiation calculation | |
| Kummert et al. | Optimised thermal zone controller for integration within a Building Energy Management System | |
| Jota et al. | Self-tuning control of an air-handling plant | |
| Zhou et al. | Artificial intelligence approach to energy management and control in the HVAC process: An evaluation, development and discussion | |
| CN120065753B (en) | Glass enclosed space microclimate regulation and control method based on CFD-IL coupling model | |
| Sun et al. | A Backstepping-Based Temperature and Humidity Nonlinear Tracking Control Scheme for a Class of Air-Handling Units |